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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The South Asian Genome
|
|---|---|
| Published in |
PLOS ONE, August 2014
|
| DOI | 10.1371/journal.pone.0102645 |
| Pubmed ID | |
| Authors |
John C. Chambers, James Abbott, Weihua Zhang, Ernest Turro, William R. Scott, Sian-Tsung Tan, Uzma Afzal, Saima Afaq, Marie Loh, Benjamin Lehne, Paul O'Reilly, Kyle J. Gaulton, Richard D. Pearson, Xinzhong Li, Anita Lavery, Jana Vandrovcova, Mark N. Wass, Kathryn Miller, Joban Sehmi, Laticia Oozageer, Ishminder K. Kooner, Abtehale Al-Hussaini, Rebecca Mills, Jagvir Grewal, Vasileios Panoulas, Alexandra M. Lewin, Korrinne Northwood, Gurpreet S. Wander, Frank Geoghegan, Yingrui Li, Jun Wang, Timothy J. Aitman, Mark I. McCarthy, James Scott, Sarah Butcher, Paul Elliott, Jaspal S. Kooner |
| Abstract |
The genetic sequence variation of people from the Indian subcontinent who comprise one-quarter of the world's population, is not well described. We carried out whole genome sequencing of 168 South Asians, along with whole-exome sequencing of 147 South Asians to provide deeper characterisation of coding regions. We identify 12,962,155 autosomal sequence variants, including 2,946,861 new SNPs and 312,738 novel indels. This catalogue of SNPs and indels amongst South Asians provides the first comprehensive map of genetic variation in this major human population, and reveals evidence for selective pressures on genes involved in skin biology, metabolism, infection and immunity. Our results will accelerate the search for the genetic variants underlying susceptibility to disorders such as type-2 diabetes and cardiovascular disease which are highly prevalent amongst South Asians. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 23% |
| United Kingdom | 5 | 19% |
| New Zealand | 1 | 4% |
| Netherlands | 1 | 4% |
| Denmark | 1 | 4% |
| Australia | 1 | 4% |
| China | 1 | 4% |
| India | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 69% |
| Scientists | 6 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| South Africa | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 103 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Researcher | 24 | 22% |
| Student > Bachelor | 9 | 8% |
| Student > Master | 7 | 6% |
| Other | 6 | 5% |
| Other | 22 | 20% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 34% |
| Biochemistry, Genetics and Molecular Biology | 21 | 19% |
| Medicine and Dentistry | 20 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 20 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2023.
All research outputs
#939,415
of 25,390,970 outputs
Outputs from PLOS ONE
#12,219
of 220,561 outputs
Outputs of similar age
#9,093
of 244,171 outputs
Outputs of similar age from PLOS ONE
#300
of 4,720 outputs
Altmetric has tracked 25,390,970 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 220,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 4,720 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.